Patrick Brandão

1.0k citations
16 papers · 366 · h-index 8

Impact in

Papers in

Patrick Brandão

16 papers receiving 354 citations

Peers

Patrick Brandão
Comparison fields: 5 of 43
  • Health Informatics 18
  • Oncology 217
  • Radiology, Nuclear Medicine and Imaging 139
  • Computer Vision and Pattern Recognition 99
  • Gastroenterology 20
Replace Noha Ghatwary with:
Noha Ghatwary Egypt
Hayato Itoh Japan
Talal Alkayali United States
Priyam Tripathi United States
Hanna Borgli Norway
Duc Tien Dang Nguyen Norway
Yuting Guo China
Yukitaka Nimura Japan
Florian Soudan United States
Henry Córdova Spain
Patrick Brandão relative to Noha Ghatwary Egypt Noha Ghatwary's profile →
Citations per field
00.5×2.6×
Noha Ghatwary · 1×
Citations per year

Countries citing papers authored by Patrick Brandão

Since Specialization
Citations

This map shows the geographic impact of Patrick Brandão's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patrick Brandão with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Brandão more than expected).

Fields of papers citing papers by Patrick Brandão

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Brandão. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patrick Brandão. The network helps show where Patrick Brandão may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick Brandão, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Brandão Line = papers co-authored together Patrick Brandão links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2018139
2 2017109
3 202231
4 202120
5 202214
6 202010
7 20238
8 20188
9 20197
10 20205
11 20234
12 20224
13 20213
14 20252
15
Validating convolution neural networks for automatic polyp detection in robotic colonoscopy
20161
16 20211

About Patrick Brandão

Patrick Brandão is a scholar working on Oncology, Computer Vision and Pattern Recognition, Surgery, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 16 papers that have together received 366 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (11 papers), Image Retrieval and Classification Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Gastric Cancer Management and Outcomes (2 papers), AI in cancer detection (2 papers), Esophageal Cancer Research and Treatment (2 papers) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Health Informatics (18 citations), Oncology (217 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Computer Vision and Pattern Recognition (99 citations) and Gastroenterology (20 citations). Patrick Brandão has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include Danail Stoyanov, Evangelos B. Mazomenos, Laurence Lovat, Omer F. Ahmad, Roser Vega, Edward Seward, Manish Chand, António Sampaio Soares, Gastone Ciuti and Renato Caliò. Their work appears in journals such as Biomedical Optics Express, Digestive Endoscopy, Gastrointestinal Endoscopy, International Journal of Computer Assisted Radiology and Surgery and Endoscopy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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